ArticlePathogens (Basel, Switzerland)2025
The Prevalence of Pretreatment Drug Resistance and Transmission Networks Among Newly Diagnosed HIV-1-Infected Individuals in Nanning, Guangxi, China.
Article in Pathogens (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Pretreatment drug resistance profiles and transmission dynamics of HIV-1 among adults aged ≥50 in Hebei Province, China.Frontiers in cellular and infection microbiology · 2026Article
- HIV-1 drug resistance and molecular transmission network analysis of newly diagnosed people living with HIV in Beijing, China: a retrospective study from 2015 to 2023.Virology journal · 2025Article
- Rapid circulation of HIV-1 CRF85_BC in Southwest China: its geographic origins and molecular transmission networks analysis.Frontiers in cellular and infection microbiology · 2025Article
- Impact of V179D/E mutations on antiretroviral therapy outcomes in people living with HIV-1: a 3-year retrospective study.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
The scale-up of antiretroviral therapy (ART) has markedly increased pretreatment drug resistance (PDR) among newly diagnosed HIV-infected individuals. This study aims to assess the prevalence and characteristics of PDR, infer the genetic transmission network, and evaluate the effect of PDR on ART in Nanning City, Guangxi. Methods: This study was conducted in the Fourth People's Hospital of Nanning from 2019 to 2023. PDR was estimated using the Stanford algorithm. Genetic transmission networks were inferred by HIV-TRACE and visualized with Cytoscape. Logistic regression identified PDR-related factors. The Cox proportional hazards model assessed the impact of drug resistance on virological and immunological failure. Among 234 participants, the prevalence of PDR was 8.97%. CRF07_BC (35.9%), CRF-01AE (27.35%), and CRF08_BC (23.9%) were the top three
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